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ORCIDAditya Sanghi
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2020 – today
- 2024
[c12]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. ICLR 2024- [c11]Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu:
Make-A-Shape: a Ten-Million-scale 3D Shape Model. ICML 2024 - [i18]Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu:
Make-A-Shape: a Ten-Million-scale 3D Shape Model. CoRR abs/2401.11067 (2024) - 2023
- [j1]Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris:
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. Trans. Mach. Learn. Res. 2023 (2023) - [c10]Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie:
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language. CVPR 2023: 18339-18348 - [i17]Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki:
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation. CoRR abs/2307.03869 (2023) - [i16]Saeid Asgari Taghanaki, Aliasghar Khani, Amir Khasahmadi, Aditya Sanghi, Karl D. D. Willis, Ali Mahdavi-Amiri:
Learned Visual Features to Textual Explanations. CoRR abs/2309.00733 (2023) - [i15]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. CoRR abs/2309.03179 (2023) - 2022
- [c9]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CVPR 2022: 11758-11768 - [c8]Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama
, Wojciech Matusik:
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CVPR 2022: 15828-15839 - [c7]Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan:
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. CVPR 2022: 18582-18592 - [c6]Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. CVPR 2022: 18593-18601 - [c5]Joseph George Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan:
Reconstructing editable prismatic CAD from rounded voxel models. SIGGRAPH Asia 2022: 53:1-53:9 - [i14]Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, Nigel J. W. Morris:
SolidGen: An Autoregressive Model for Direct B-rep Synthesis. CoRR abs/2203.13944 (2022) - [i13]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, Kamal Rahimi Malekshan:
Reconstructing editable prismatic CAD from rounded voxel models. CoRR abs/2209.01161 (2022) - [i12]Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie:
TextCraft: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Text. CoRR abs/2211.01427 (2022) - 2021
- [c4]Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris:
UV-Net: Learning From Boundary Representations. CVPR 2021: 11703-11712 - [c3]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A Topological Message Passing System for Solid Models. CVPR 2021: 12773-12782 - [c2]Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. ICCV 2021: 9670-9679 - [i11]Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani:
BRepNet: A topological message passing system for solid models. CoRR abs/2104.00706 (2021) - [i10]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CoRR abs/2104.05652 (2021) - [i9]Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne:
UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. CoRR abs/2105.02961 (2021) - [i8]Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero:
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. CoRR abs/2110.02624 (2021) - [i7]Linh Tran, Amir Hosein Khasahmadi, Aditya Sanghi, Saeid Asgari Taghanaki:
Group-disentangled Representation Learning with Weakly-Supervised Regularization. CoRR abs/2110.12185 (2021) - [i6]Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik:
JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. CoRR abs/2111.12772 (2021) - [i5]Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. CoRR abs/2112.05381 (2021) - 2020
- [c1]Aditya Sanghi:
Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning. ECCV (29) 2020: 626-642 - [i4]Aditya Sanghi, Pradeep Kumar Jayaraman:
How Powerful Are Randomly Initialized Pointcloud Set Functions? CoRR abs/2003.05410 (2020) - [i3]Saeid Asgari Taghanaki, Mohammad Havaei, Alex Lamb, Aditya Sanghi, Ara Danielyan, Tonya Custis:
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders. CoRR abs/2005.05496 (2020) - [i2]Aditya Sanghi:
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning. CoRR abs/2006.02598 (2020) - [i1]Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Thomas Davies, Hooman Shayani, Nigel J. W. Morris:
UV-Net: Learning from Curve-Networks and Solids. CoRR abs/2006.10211 (2020)
Coauthor Index
aka: Joseph George Lambourne
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